Improving Discrete Documentation of Cancer Staging-An Alert-Free Approach.

IF 2.2 2区 医学 Q4 MEDICAL INFORMATICS
Applied Clinical Informatics Pub Date : 2025-08-01 Epub Date: 2025-04-25 DOI:10.1055/a-2594-3722
Renee Potashner, Adam P Yan
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引用次数: 0

Abstract

Cancer staging is integral to ensuring cancer patients receive appropriate risk-adapted therapy. Discrete cancer staging using a structured staging form helps ensure accurate staging, provides a single source of truth for staging information, and allows for reporting to regulatory authorities. Our institution created pediatric oncology specific discrete staging forms that have been shared with the broader Epic community. By November 2023, baseline utilization of the staging form for patients with leukemia or lymphoma was 43%, and the override rate for our existing alert was 99.9%.Improve discrete documentation of cancer stage for patients with leukemia or lymphoma within 60 days following initiation of chemotherapy to >80% by July 2024 as measured by signed staging form.Model for improving plan-do-study-act (PDSA) cycles was implemented, and statistical process control charts were used to evaluate impact. The first intervention was educational training to oncology providers. The second PDSA cycle involved sharing monthly individual completion data with the primary oncologist regarding their personal patient metrics. The third PDSA cycle involved removing the interruptive alert.Within 6 months, documentation of primary oncologist improved from 86 to 100%, and initiation of staging form improved from 57 to 90%. Completion of signed cancer staging form reached 80%. Patients marked as not needing staging increased from 5 to 17%.Completion of a digital cancer staging form is important for continuity of care, and to facilitate reporting to regulatory authorities, though frequent interruptive alerts were an ineffective method for improving documentation. Education and data sharing increased staging completion to near target, with ongoing efforts to reach the goal of 80%.

关于CDS失败的特刊:改善癌症分期的离散文件:一种无预警的方法。
背景:癌症分期对于确保癌症患者接受适当的风险适应治疗是不可或缺的。使用结构化分期形式的离散癌症分期有助于确保准确的分期,为分期信息提供单一的真实来源,并允许向监管机构报告。我们的机构创建了儿科肿瘤特定的离散分期形式,并与更广泛的Epic社区共享。截至2023年11月,白血病或淋巴瘤患者分期表的基线使用率为43%,我们现有预警的覆盖率为99.9%。目的:改善白血病或淋巴瘤患者在化疗开始后60天内的癌症分期的离散记录,到2024年7月,通过签署的分期表来衡量。方法:采用改进PDSA循环模型,采用统计过程控制图评价影响。第一个干预措施是对肿瘤学提供者进行教育培训。第二个PDSA周期涉及与主要肿瘤科医生分享月度个人完成数据,包括他们的个人患者指标。第三个PDSA循环涉及删除中断警报。结果:6个月内,原发肿瘤学家的记录从86%提高到100%,分期起始形式从57%提高到90%。肿瘤分期完成率达80%。标记为不需要分期的患者从5%增加到17%。结论:完成数字癌症分期表对于护理的连续性很重要,并有助于向监管机构报告,尽管频繁的中断警报是改进文件的无效方法。教育和数据共享使分期完成率接近目标,目前正在努力达到80%的目标。
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来源期刊
Applied Clinical Informatics
Applied Clinical Informatics MEDICAL INFORMATICS-
CiteScore
4.60
自引率
24.10%
发文量
132
期刊介绍: ACI is the third Schattauer journal dealing with biomedical and health informatics. It perfectly complements our other journals Öffnet internen Link im aktuellen FensterMethods of Information in Medicine and the Öffnet internen Link im aktuellen FensterYearbook of Medical Informatics. The Yearbook of Medical Informatics being the “Milestone” or state-of-the-art journal and Methods of Information in Medicine being the “Science and Research” journal of IMIA, ACI intends to be the “Practical” journal of IMIA.
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